Tien M. Phan
Impact in
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- RNA Research and Splicing
- Protein Structure and Dynamics
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
Papers in
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- RNA Research and Splicing 10
- Protein Structure and Dynamics 6
- RNA and protein synthesis mechanisms 6
- Genomics and Chromatin Dynamics 4
- Heat shock proteins research 2
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- Genetic Neurodegenerative Diseases 3
- Co-authors
- Jeetain Mittal (15 shared papers)Azamat Rizuan (4 shared papers)Priyesh Mohanty (6 shared papers)Utkarsh Kapoor (3 shared papers)Young C. Kim (5 shared papers)Dinesh Sundaravadivelu Devarajan (1 shared paper)Galia T. Debelouchina (5 shared papers)Nina Jovic (2 shared papers)
- Journals
- Biophysical Journal (4 papers)The Journal of Physical Chemistry B (3 papers)eLife (2 papers)Nature Communications (1 paper)Advanced Science (1 paper)
- Partner nations
- United StatesFranceSpain
In The Last Decade
Tien M. Phan
16 papers receiving 216 citations
Peers
Comparison fields: 5 of 44
- Molecular Biology 179
- Biochemistry 9
- Cellular and Molecular Neuroscience 19
- Cell Biology 12
- Physiology 14
Countries citing papers authored by Tien M. Phan
This map shows the geographic impact of Tien M. Phan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tien M. Phan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tien M. Phan more than expected).
Fields of papers citing papers by Tien M. Phan
This network shows the impact of papers produced by Tien M. Phan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tien M. Phan. The network helps show where Tien M. Phan may publish in the future.
Co-authors
The 25 scholars most cited alongside Tien M. Phan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 69 | |
| 2 | 2022 | 43 | |
| 3 | 2023 | 24 | |
| 4 | 2022 | 20 | |
| 5 | 2024 | 13 | |
| 6 | 2022 | 13 | |
| 7 | 2023 | 11 | |
| 8 | 2024 | 7 | |
| 9 | 2025 | 4 | |
| 10 | 2025 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2024 | 0 |
About Tien M. Phan
Tien M. Phan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Materials Chemistry and Biomedical Engineering, having authored 18 papers that have together received 217 indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers), Genomics and Chromatin Dynamics (4 papers), Genetic Neurodegenerative Diseases (3 papers), Alzheimer's disease research and treatments (2 papers), Heat shock proteins research (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Molecular Biology (179 citations), Biochemistry (9 citations), Cellular and Molecular Neuroscience (19 citations), Cell Biology (12 citations) and Physiology (14 citations). Tien M. Phan has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Jeetain Mittal, Azamat Rizuan, Priyesh Mohanty, Utkarsh Kapoor, Young C. Kim, Dinesh Sundaravadivelu Devarajan, Galia T. Debelouchina, Nina Jovic, Jeremy D. Schmit and Bryce E. Ackermann. Their work appears in journals such as Biophysical Journal, The Journal of Physical Chemistry B, eLife, Nature Communications and Advanced Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.